Salary
💰 $130,000 - $180,000 per year
Tech Stack
JavaScriptPythonReactTypeScript
About the role
- Deploy and maintain edge AI (computer vision) systems in real factories and warehouses
- Meet client teams, observe operations, sketch simple plans, build prototypes, try on site, and iterate
- Fix failures in the field and write documentation to make future installs easier
- Tighten end-to-end flows: detect, track, time, alert, and verify fixes with crews
- Tune systems until they are reliable and boring; translate field fixes into reusable product improvements
- Work cross-functionally with backend, frontend, and research teams and share learnings
- Generalize field work into reusable modules, playbooks, and scaled deployments across regions
Requirements
- Practical problem solver who enjoys real-world constraints and still ships
- Customer facing by default; you turn vague goals into crisp scopes and success criteria
- Comfortable testing, developing, and validating edge AI flows on site with the users
- Clear communicator with technicians in the morning and exec team in the afternoon
- You have built and deployed products end to end, ideally in startups
- Collaborative; you share context, teach, learn, and iterate with feedback
- Strong plus: past founder or early builder who has owned outcomes front to back
- Nice to have, not required: computer vision or edge systems experience; background in manufacturing, logistics, or industrial settings.
- 1+ years of relevant, post-college work experience
- Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science
- Strong coder with shown proficiency in programming languages such as Python, TypeScript/JavaScript, React or similar
- Ability and interest to travel up to 30%, as needed to client sites